Reducing Time for Forensic Analysis of Multi Sensor GMTI from Days to Hours

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-12-C-0084
Agency Tracking Number: F103-053-0387
Amount: $1,499,702.00
Phase: Phase II
Program: SBIR
Awards Year: 2012
Solicitation Year: 2010
Solicitation Topic Code: AF103-053
Solicitation Number: 2010.3
Small Business Information
162 Genesee Street, Utica, NY, -
DUNS: 111305843
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Michael Blount
 Principal Investigator
 (315) 732-7385
 blount@brsc.com
Business Contact
 Milissa Benincasa
Title: Vice President
Phone: (315) 732-7385
Email: benincasa@brsc.com
Research Institution
 Stub
Abstract
ABSTRACT: In today"s war environment, our leaders are generating more Requests for Information to support the fight than ever and the MOVINT sensors providing beneficial information to service these requests are growing in number and capability and thus data volume is increasing. To accelerate the time from receipt of RFI to product generation, analysts must have systems and algorithms at their disposal that allow them to manage and exploit this immense amount of information in an efficient and effective manner. Black River"s approach will address both needs with the development of MOVINT exploitation algorithms and a distributed Database Management System (DBMS); by improving both a synergistic effect is achieved. The MOVINT exploitation algorithms will automate current manual processes as well as enhance the raw intelligence to allow for rapid RFI fulfillment. The distributed DBMS utilizes state of the art technology to enhance the ingestion, storage, retrieval, and extraction of the intelligence as well as moves the algorithm processing from the analyst workstation to a powerful, distributed computing cluster; thus removing a common bottleneck in the MOVINT exploitation process. Ultimately, we will deliver this distributed system with integrated algorithms to AFRL and demonstrate accelerated MOVINT exploitation. BENEFIT: The proposed MOVINT exploitation algorithms will provide analysts with automated processing and novel information to accelerate servicing of RFIs and will support current and developing MTI enterprises that provide plug-in capabilities. The distributed DBMS provides a research test-bed for users to continue development of improved data mining and data handling techniques that support evolving analyst RFI requirements as well as supplies a system that advances the management of current MOVINT data volumes and is capable of supporting greater, future volumes.

* Information listed above is at the time of submission. *

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